Skip to content
View Mr-Skeleton-Max's full-sized avatar

Block or report Mr-Skeleton-Max

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Mr-Skeleton-Max/README.md

Yuyue Li · 李宇越

Undergraduate Student (2024 intake) National Elite Institute of Engineering, Chongqing University 重庆大学国家卓越工程师学院

📧 20242803@stu.cqu.edu.cn 🌐 mr-skeleton-max.github.io


About

I am an undergraduate student at Chongqing University, enrolled in 2024 at the National Elite Institute of Engineering (重庆大学国家卓越工程师学院).

My interests span four areas:

  • Efficient inference — KV cache design and long-context attention, i.e. what a model actually needs to attend to when the context gets long.
  • Generative modeling — image generation and autoregressive generative models.
  • LLM agents & tooling — agent memory, long-horizon task execution, and the harnesses that make them work in practice.
  • Efficient architectures — mixture-of-experts (MoE) offloading and GPU–CPU hybrid execution: the engineering side of making very large models run on hardware people actually have.

Most of this work lives in private repos and in projects not yet published, so the public repos below are only a slice of it.

Projects

Project What it is
WarpMoE A GPU–CPU hybrid offloading engine that runs DeepSeek-scale MoE models far beyond available VRAM. 83–119 tok/s on a single A100, across 24–80 GB VRAM tiers.

Contact

National Elite Institute of Engineering, Chongqing University · 重庆大学国家卓越工程师学院 · 2024 级本科生 · 李宇越

Popular repositories Loading

  1. WarpMoE WarpMoE Public

    GPU–CPU hybrid offloading engine: run DeepSeek-scale MoE far larger than VRAM. 83–119 tok/s on one A100, 24–80 GB VRAM tiers. 单卡低显存跑超大 MoE。

    Python 2

  2. Mr-Skeleton-Max Mr-Skeleton-Max Public

    Yuyue Li (李宇越) — undergraduate at Chongqing University

  3. Mr-Skeleton-Max.github.io Mr-Skeleton-Max.github.io Public

    Personal homepage — Yuyue Li (李宇越), Chongqing University

    HTML